50 Top Digital Influencers to Follow at the end of 2022 and in 2023

Here’s is our 2023 edition of 50 Top Global Digital Influencers to Follow on Twitter at the end of 2022 & in 2023 [ranked by our home made algorithm]. This list is of course non exhaustive.

09/26/2022 Update

(This list is covering major Topics around the global economic & technical Digital Transformation, such as: Digital Marketing, Social Media Marketing, Artificial Intelligence (AI), Machine Learning, Deep Learning, AI Ethics, IoT (Internet of Things), IIoT (Industrial Internet of Things), Autonomous Vehicles, Digital & Health Tech, Cloud & Edge Computing, Smart Cities, Robots/Bots/Chatbots, The Future of Work, Data Science, Fintech, Insurtech, DevOps, Edtech, Cyber Security, VR & AR, Sustainablity, Environment, Climate Change, Blockchain, Metaverse, Quantum Computing, Web3, NFTs, Science, Coding, Python, …)

The ‘Authority Score’ in this list is a mix of online & also “real life” engagement. (“Giant” companies are not in this list because they obviuosly don’t “play the same game” ;=)

Hope you’ll enjoy this list (the ranking here is in fact not important, the important things are the ideas, knowledge, and insights shared by the experts, KOLs & tech influencers there).

1. Eric Topol Twitter: @EricTopol | SCORE: 100 | Health Tech – Digital Transformation
2. Timnit Gebru Twitter: @timnitGebru | SCORE: 96.2 |  AI Ethics
3. François Chollet Twitter: @fchollet | SCORE: 95.0 | AI – Machine Learning
4. Fei-Fei Li Twitter: @drfeifei | SCORE: 91.5 | AI – Machine Learning
5. Andrew Ng Twitter: @AndrewYNg | SCORE: 87.1 | AI – Machine Learning
6. Yann LeCun Twitter: @ylecun | SCORE: 86.4 | AI – Machine Learning
7. Sally Eaves Twitter: @sallyeaves | SCORE: 85.1 | Digital Transformation
8. Geoffrey Hinton Twitter: @geoffreyhinton | SCORE: 84.1 | AI – Machine Learning
9. Marc Benioff Twitter: @Benioff | SCORE: 82.3 | Digital Transformation
10. Imtiaz Adam Twitter: @DeepLearn007 | SCORE: 76.1 | AI – Machine Learning
11. Lex Fridman Twitter: @lexfridman | SCORE: 76.0 | Tech – AI – Machine Learning
12. J-Baptiste Lefevre Twitter: @jblefevre60 | SCORE: 75.6 | Digital Transformation
13. Evan Kirstel Twitter: @evankirstel | SCORE: 74.7 | Digital Transformation
14. Kirk Borne Twitter: @KirkDBorne | SCORE: 73.7 | AI – Data Science – Big Data
15. Spiros Margaris Twitter: @SpirosMargaris | SCORE: 72.2 | Fintech – AI
16. KdNuggets Twitter: @kdnuggets | SCORE: 72.1 | AI – Data Science – Big Data
17. Vala Afshar Twitter: @ValaAfshar | SCORE: 72.0 | Digital Transformation
18. Theo Twitter: @psb_dc | SCORE: 69.5 | Fintech – Digital Transformation – Ethics
19. Antonio Grasso Twitter: @antgrasso | SCORE: 68.9 | Digital Transformation
20. Mia Dand Twitter: @MiaD | SCORE: 68.9 |  AI Ethics
21. Jim Marous Twitter: @JimMarous | SCORE: 68.5 | Fintech – Digital Transformation
22. Pinna Pierre Twitter: @pierrepinna | SCORE: 68.1 | AI Ethics – Digital Transformation
23. ipfconline Twitter: @ipfconline1 | SCORE: 67.8 | Digital Transformation – AI
24. Data Science Central  Twitter: @analyticbridge | SCORE: 67.6 | AI – Data Science
25. John Nosta Twitter: @johnnosta | SCORE: 67.1 | Health Tech
26. Linda Grasso Twitter: @LindaGrass0 | SCORE: 67.0 | Digital Transformation
27. Danielle Guzman Twitter: @guzmand | SCORE: 66.8 | Digital Transformation
28. Antonio Vieira Santos Twitter: @akwyz | SCORE: 66.8 | Digital Transformation
29. Brett King Twitter: @BrettKing | SCORE: 66.5 | Fintech
30. Nicolas Babin Twitter: @Nicochan33 | SCORE: 66.2 | Digital Transformation – AI
31. Tamara McCleary Twitter: @TamaraMcCleary | SCORE: 65.9 | Digital Transformation
32. Marsha Collier Twi.: @MarshaCollier | SCORE: 65.9 | Digital Transformation Marketing
33. Xavier Gomez  Twitter: @Xbond49 | SCORE: 65.7 | Fintech – Insurtech – AI
34. Shira Rubinoff Twitter:  @Shirastweet | SCORE: 65.4 | Cyber Security
35. Johannes Drooghaag Twit.: @DrJDrooghaag | SCORE: 65.3 | Cyber Security
36. Roxana Nasoi Twitter: @roxananasoi | SCORE: 65.1 | Cybersecurity Privacy
37. Ronald van Loon Twitter: @Ronald_vanLoon | SCORE: 64.9 | Digital Transformation
38. Dean of Big Data Twitter: @schmarzo | SCORE: 64.8 | Data Science – Big Data – AI
39. Bob E. Hayes Twitt.: @bobehayes | SCORE: 64.8 | Data Science – Machine Learning
40. Simon Cocking T: @SimonCocking | SCORE: 64.5 | Tech Sustainablity – Environment
41. Harold Sinnott Twitter: @HaroldSinnott | SCORE: 64.5 | Digital Transformation
42. Andreas Staub Twit.: @andi_staub | SCORE: 64.1 | Fintech – Digital Transformation
43. Dr. Robin Kiera Twitter: @stratorob | SCORE: 63.7 | Fintech – Insurtech
44. Brian Ahier Twitter: @ahier | SCORE: 63.7 | Health Tech – Science
45. Maria Luciana Axente Twitter: @maria_axente | SCORE: 63.5 | AI Ethics
46. Carla Gentry Twitter: @data_nerd | SCORE: 63.2 | Data Science – Big Data – AI
47. Mario Pawlowski Twitter: @PawlowskiMario | SCORE: 63.1 | Digital Transformation
48. Cathy Hackl Twitter: @CathyHackl | SCORE: 63.1 | Digital Transformation – Metaverse
49. Helene Li Twitter: @helene_wpli | SCORE: 63.0 | Digital Transformation
50. Irma Rastegayeva Twitter: @irmaraste | SCORE: 62.8 | Health Tech

Trends

Current (and near-term) strong trends in Tech we have observed:
– Towards a responsible future (AI Ethics, Fighting AI bias, Climate Emergency, Equity / Diversity / Inclusion…)
– the Metaverse (VR, NFTs…) & Web3 (Blockchain, …)
– Cyber Security
– Health Tech
– and Quantum Computing

Methodology

We analyzed on stochastic samples the keywords mentioned at the beginning of the article (the fields of digital transformation) on Internet and Twitter between November 2021 and the end of September 2022. This analysis was done using a home made NLP algorithm written by our team, mainly in Prolog (yes, there are still people who use Prolog ;)). The main structure of the algorithm is a decision tree and so the AI here is “symbolic” because Prolog is a programming language based on mathematical logic. Thus it allows very simple queries to be made in natural “human” language. This choice was made to obtain a high interpretability of the results obtained by the analysis. Here there are also humans in the loop (our team obviously in this case) to establish weights on the decision trees (for example the weight of tech events – the CES in Las Vegas was weighted at 100/100 due to its importance). Biases, as with any algorithm, are certainly present here but we tried to reduce them to a minimum. Concerning Twitter, we took into account the potential reach and the engagement.

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